Nanolayers

output

20192025

most citedDScribe: Library of Descriptors for Machine Learning in Materials Science

857 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

F. F. Canova4 · h 18
A. Foster3 · h 51
Niko Oinonen3 · h 7
Benjamin Alldritt2 · h 7
Chen Xu2 profiles2 · h 1
D. Gao2 profiles2 · h 16
Fedor Urtev2 · h 3
Juho Kannala2 · h 45
O. Krejčí2 · h 17
P. Liljeroth2 · h 51
Adam S. Foster1 · h 8
A. El-Sayed1 · h 18

collaborating institutions

Aalto UniversityFI5 papers
Kanazawa UniversityJP4 papers
Life Science InstituteJP2 papers
University College LondonGB2 papers
Construction Solutions (United States)US1 paper
Institut des Molécules et Matériaux du MansFR1 paper
Institute of MicroelectronicsCN1 paper
Le Mans UniversitéFR1 paper
London Centre for NanotechnologyGB1 paper
Norwegian University of Science and TechnologyNO1 paper
Österreichisches Forschungsinstitut für Chemie und TechnikAT1 paper
Scientific Systems (United States)US1 paper

Showing 2023 · cond-mat.mtrl-sciShow all

1 paper · 2 filters

cond-mat.mtrl-sci2023★ 2 cited

First principles study on the segregation of metallic solutes and non-metallic impurities in Cu grain boundary

Vasileios Fotopoulos, Jack Strand, Manuel Petersmann +1

Metallic dopants have the potential to increase the mechanical strength of polycrystalline metals. These elements are expected to aggregate in regions of lower coordination, such a…